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update documentation

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CERN\Andrejh 2023-01-10 11:52:44 +01:00 committed by Luis Aleixo
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caimira/docs/full_diameter_dependence.rst
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@ -78,6 +78,8 @@ The estimate of the concentration of virus-laden particles in a given room is ba
* **Box 2** - short-range exposure: also known as the *exhaled jet* concentration in close-proximity, corresponds to the exposure of airborne virions where the susceptible (exposed) host is distanced between 0.5 and 2 m from an infected host, considering the result of a two-stage exhaled jet model.
Note that most of the methods used to calculate the concentration are defined in the superclass :meth:`caimira.models._ConcentrationModelBase`, while the specific methods for the long-range virus concentration are part of the subclass :meth:`caimira.models.ConcentrationModel`.
The specific removal rate, atmospheric concentration and normalization factors will depend on what concentration is being calculated (e.g. viral concentration or CO2 concentration) and are respectively defined in :meth:`caimira.models._ConcentrationModelBase.removal_rate`,
:meth:`caimira.models._ConcentrationModelBase.atmosphere_concentration` and :meth:`caimira.models._ConcentrationModelBase.normalization_factor`.
Long-range approach
*******************
@ -306,14 +308,17 @@ If short-range interactions exist: the long-range component is added to the alre
If the are no short-range interactions: the short-range component (`deposited_exposure`) is zero, hence the result is equal solely to the long-range component :math:`C_{\mathrm{LR}}`.
:math:`\mathrm{CO}_{2}` Concentration
CO\ :sub:`2` Concentration
=====================================
The estimate of the concentration of :math:`\mathrm{CO}_{2}` in a given room to indicate the air quality is given by the same equation of the virus concentration for the long-range approach, :math:`C_{\mathrm{LR}}(t, D)`, where :math:`C_0(D)` is the background :math:`\mathrm{CO}_{2}` concentration in the atmosphere (initially defined as `440.44 ppm`).
Note that in order to calculate the :math:`\mathrm{CO}_{2}` concentration one should use the concentration method defined in the superclass - :meth:`caimira.models._ConcentrationModelBase.concentration` - for a dedicated :class:`caimira.models.CO2ConcentrationModel` scenario.
A fraction of 4.2% of the exhalation rate of the defined activity was considered as the :math:`\mathrm{CO}_{2}` supplied to the room.
The estimate of the concentration of CO\ :sub:`2` in a given room to indicate the air quality is given by the same approach as for the long-range virus concentration,
:math:`C_{\mathrm{LR}}(t, D)`, where :math:`C_0(D)` is considered to be the background (outdoor) CO\ :sub:`2` concentration (:meth:`caimira.models.CO2ConcentrationModel.CO2_atmosphere_concentration`).
Since the :math:`\mathrm{CO}_{2}` concentration differs from the virus concentration, the specific removal rate, atmospheric concentration and normalization factors are respectively defined in :meth:`caimira.models.CO2ConcentrationModel.removal_rate`, :meth:`caimira.models.CO2ConcentrationModel.atmosphere_concentration` and :meth:`caimira.models.CO2ConcentrationModel.normalization_factor`.
Note that in order to calculate the CO\ :sub:`2` concentration one should use the concentration method defined in the superclass - :meth:`caimira.models._ConcentrationModelBase.concentration` - for a dedicated :class:`caimira.models.CO2ConcentrationModel` scenario.
A fraction of 4.2% of the exhalation rate of the defined activity was considered as the supplied to the room (:meth:`caimira.models.CO2ConcentrationModel.CO2_fraction_exhaled`).
Since the CO\ :sub:`2` concentration differs from the virus concentration, the specific removal rate, atmospheric concentration and normalization factors are respectively defined in :meth:`caimira.models.CO2ConcentrationModel.removal_rate`,
:meth:`caimira.models.CO2ConcentrationModel.atmosphere_concentration` and :meth:`caimira.models.CO2ConcentrationModel.normalization_factor`.
.. _caimira-uml-diagram: